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Model comparison

Claude 3 Haiku vs K-Exaone

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

21.27/100
Margin
27.1pts
winning →
LG AI Research
48.32/100
0 category wins0 category wins

BenchAlign evidence: Claude 3 Haiku supported; K-Exaone estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 3 Haiku and K-Exaone share 12 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Claude 3 Haiku; 0 to K-Exaone.

Updated July 16, 2026
Shared results
12
Claude 3 Haiku only
1
K-Exaone only
0
Comparable categories
0 / 8

Benchmark data for Claude 3 Haiku and K-Exaone is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

K-Exaone has the larger context window at 256K, compared with 200K for Claude 3 Haiku.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricClaude 3 HaikuK-ExaoneComparison
Input / output priceUSD per 1M tokensClaude 3 Haiku$0.25 input / $1.25 outputK-ExaoneNot availableA complete price comparison is not available.
Generation speedtokens per secondClaude 3 Haiku138 tok/sK-ExaoneNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude 3 Haiku1.16 sK-ExaoneNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude 3 Haiku200KK-Exaone256KK-Exaone lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude 3 HaikuK-ExaoneResult
τ²-bench resultsSource 21.1%74.3%K-Exaone leads
Coding
BenchmarkClaude 3 HaikuK-ExaoneResult
Terminal-Bench HardSource 0.8%22.7%K-Exaone leads
AA-SciCodeSource 18.6%35.6%K-Exaone leads
Reasoning
BenchmarkClaude 3 HaikuK-ExaoneResult
AA-LCRSource 21.0%55.7%K-Exaone leads
CritPtSource 0.0%1.1%K-Exaone leads
Knowledge
BenchmarkClaude 3 HaikuK-ExaoneResult
Artificial Analysis Intelligence IndexSource 3.9%24.7%K-Exaone leads
AA-GPQA DiamondSource 37.4%78.3%K-Exaone leads
AA-HLESource 3.9%13.1%K-Exaone leads
AA-Omniscience IndexSource -47.6%-57.9%Claude 3 Haiku leads
AA-Omniscience AccuracySource 17.2%16.5%Claude 3 Haiku leads
AA-Omniscience Hallucination RateSource 78.2%89.1%Claude 3 Haiku leads
Multimodal
BenchmarkClaude 3 HaikuK-ExaoneResult
AA-MMMU-ProSource 30.8%Not comparable
Inst. Following
BenchmarkClaude 3 HaikuK-ExaoneResult
AA-IFBenchSource 36.1%64.7%K-Exaone leads
Frequently Asked Questions (3)

Can I compare Claude 3 Haiku and K-Exaone on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Claude 3 Haiku and K-Exaone today?

Claude 3 Haiku: $0.25 input / $1.25 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 16, 2026

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